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Decision Science Can Help Supply Chain Professionals Embrace Uncertainty
This article discusses the importance of effective decision-making in business, particularly in supply chain management. It highlights the need for embracing uncertainty, utilizing AI and analytics, and implementing scenario planning to improve operations and stay competitive in a rapidly changing environment.

Artificial Intelligence and the Retail Reset
The retail sector is facing significant disruption, necessitating a "retail reset." Challenges include changing consumer behaviors, supply chain issues, and intense competition. Artificial intelligence is emerging as a crucial tool for retailers to optimize operations, personalize experiences, and stay competitive in this evolving landscape.

Price Controls Aren’t the Answer to High Food Prices
This article discusses Vice President Kamala Harris's proposal to ban "price gouging" in the food industry. It examines industry reactions, economic factors affecting food prices, and criticisms of the plan as potential price control policy.

Food Inflation, Conclusion: Brands and Grocers Try to Win Back Consumer Loyalty
This article examines how brands and grocers are responding to changing consumer behavior due to high food prices. It highlights strategies such as lowering prices, enhancing loyalty programs, focusing on private labels, and tailoring approaches based on store types to regain customer loyalty.

Food Inflation, Part Two: Consumers React to High Food Prices
This article discusses how high food prices are affecting consumer behavior and loyalty. It highlights the shift towards cheaper alternatives, including store brands, and how retailers and brands are responding through loyalty programs and AI-driven personalization to regain consumer trust.

Why CPG Leaders Must Separate the Wheat from Chaff for True AI-Powered Revenue Growth Optimization
In this recent article, featured on Unite.AI, I discuss the critical need for CPG companies to optimize revenue growth amid market uncertainties. True optimization requires sophisticated mathematics and AI tools that can handle real-world complexity, not just traditional forecasting or generative AI. Understanding these distinctions is key to success. To read the original article, click here: https://bit.ly/4b5Btku